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NRTSI: Non-Recurrent Time Series Imputation for Irregularly-sampled Data


Feb 17, 2021
Siyuan Shan, Junier B. Oliva

* 8 pages 

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Partially Observed Exchangeable Modeling


Feb 11, 2021
Yang Li, Junier B. Oliva


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Arbitrary Conditional Distributions with Energy


Feb 08, 2021
Ryan R. Strauss, Junier B. Oliva


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Handling Non-ignorably Missing Features in Electronic Health Records Data Using Importance-Weighted Autoencoders


Feb 05, 2021
David K. Lim, Naim U. Rashid, Junier B. Oliva, Joseph G. Ibrahim

* 37 pages, 3 figures, 3 tables, under review (Journal of the American Statistical Association) 

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Active Feature Acquisition with Generative Surrogate Models


Oct 06, 2020
Yang Li, Junier B. Oliva


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Exchangeable Neural ODE for Set Modeling


Aug 06, 2020
Yang Li, Haidong Yi, Christopher M. Bender, Siyuan Shan, Junier B. Oliva


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Deep Goal-Oriented Clustering


Jun 16, 2020
Yifeng Shi, Christopher M. Bender, Junier B. Oliva, Marc Niethammer

* 15 pages 

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Dynamic Feature Acquisition with Arbitrary Conditional Flows


Jun 13, 2020
Yang Li, Junier B. Oliva


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Defense Through Diverse Directions


Mar 24, 2020
Christopher M. Bender, Yang Li, Yifeng Shi, Michael K. Reiter, Junier B. Oliva


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Flow Models for Arbitrary Conditional Likelihoods


Sep 13, 2019
Yang Li, Shoaib Akbar, Junier B. Oliva


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Meta-Curvature


Feb 09, 2019
Eunbyung Park, Junier B. Oliva


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Transformation Autoregressive Networks


Oct 23, 2018
Junier B. Oliva, Avinava Dubey, Manzil Zaheer, Barnab谩s P贸czos, Ruslan Salakhutdinov, Eric P. Xing, Jeff Schneider

* ICML 2018 

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Multi-fidelity Gaussian Process Bandit Optimisation


Aug 04, 2018
Kirthevasan Kandasamy, Gautam Dasarathy, Junier B. Oliva, Jeff Schneider, Barnabas Poczos

* Preliminary version appeared at NIPS 2016 

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Recurrent Estimation of Distributions


May 30, 2017
Junier B. Oliva, Kumar Avinava Dubey, Barnabas Poczos, Eric Xing, Jeff Schneider


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The Statistical Recurrent Unit


Mar 01, 2017
Junier B. Oliva, Barnabas Poczos, Jeff Schneider


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Deep Mean Maps


Nov 13, 2015
Junier B. Oliva, Dougal J. Sutherland, Barnab谩s P贸czos, Jeff Schneider


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Linear-time Learning on Distributions with Approximate Kernel Embeddings


Sep 24, 2015
Dougal J. Sutherland, Junier B. Oliva, Barnab谩s P贸czos, Jeff Schneider


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Fast Distribution To Real Regression


Mar 09, 2014
Junier B. Oliva, Willie Neiswanger, Barnabas Poczos, Jeff Schneider, Eric Xing


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FuSSO: Functional Shrinkage and Selection Operator


Mar 09, 2014
Junier B. Oliva, Barnabas Poczos, Timothy Verstynen, Aarti Singh, Jeff Schneider, Fang-Cheng Yeh, Wen-Yih Tseng


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